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VALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern University December 2016 Based on a paper with Tom Hazlett.

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Page 1: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

VALUING SPECTRUM

5G Workshop, Washington D.C.

Michael Honig Department of EECS

Northwestern University

December 2016

Based on a paper with Tom Hazlett.

Page 2: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Spectrum “Crunch” P

etab

ytes

per

mon

th

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Page 3: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Spectrum Policy is Important

¨  Gross inefficiencies still exist with large opportunity costs.

¨  Spectrum assignments influence technology development ¤ Licensed, unlicensed, secondary access, mmWave

¨  Re-allocations/assignments incur very large transaction costs.

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Page 4: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

FCC Initiatives

¨  Incentive auctions (repurposing TV spectrum) ¨  TV white space ¨  Millimeter wave bands ¨  3.5 GHz band

5G Workshop, Washington D.C.

Very high transaction costs. How can we reduce these?

How to define access rights?

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Page 5: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

An Economist’s Proposal

Ronald Coase, 1991 Nobel Laureate in Economics

Introduce spectrum property rights, sell to highest bidders, do not restrict use.

R. Coase, “The federal communications commission,” J. Law and Economics, pp. 1–40, 1959.

Coase’s “Theorem”: In the absence of transaction costs, spectrum owners will trade rights so that the outcome allocates spectrum to best use.

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Page 6: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

An Economist’s Proposal

Ronald Coase, 1991 Nobel Laureate in Economics

R. Coase, “The federal communications commission,” J. Law and Economics, pp. 1–40, 1959.

Coase’s “Theorem”: In the absence of transaction costs, spectrum owners will trade rights so that the outcome allocates spectrum to best use.

Role of government should be to minimize transaction costs.

Introduce spectrum property rights, sell to highest bidders, do not restrict use.

5G Workshop, Washington D.C.

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December 2016

Page 7: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

An Economist’s Proposal

Ronald Coase, 1991 Nobel Laureate in Economics

R. Coase, “The federal communications commission,” J. Law and Economics, pp. 1–40, 1959.

Spectrum auctions finally introduced in the 1990s. Restrictions on use remain.

Coase’s “Theorem”: In the absence of transaction costs, spectrum owners will trade rights so that the outcome allocates spectrum to best use.

Introduce spectrum property rights, sell to highest bidders, do not restrict use.

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December 2016

Page 8: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Liberal License

¨  Licensed for exclusive use ¨  Liberal use rules

¤ Does not dictate technology (cellular, WiFi commons, satellite,…)

¨  Allows spectrum trading ¤ Can re-allocate spectrum on large scales. ¤ Can define/trade spectrum contracts on finer scales

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Page 9: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Unlicensed Spectrum (Commons)

¨  Open access ¨  Requires etiquette rules

for sharing

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¨  Spectrum owned by government ¨  Etiquette rules part of industry standard (802.11)

December 2016

Page 10: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Licensed versus Unlicensed

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Cellular Service Providers

Software (apps) developers, Comcast, AT&T?

More licensed spectrum!

More unlicensed spectrum!

December 2016

Page 11: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

More Licensed Spectrum

¨  Encourages investment (cellular), efficient use ¨  Does not constrain technology,

rules for spectrum sharing, business models ¨  Facilitates trading / Coasean bargaining

December 2016 5G Workshop, Washington D.C.

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[Hazlett, 2010]

Page 12: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

More Unlicensed Spectrum

5G Workshop, Washington D.C.

¨  Reduces barriers to entry ¨  Encourages innovation (WiFi, Bluetooth, etc.) ¨  Has created as much value as licensed

[Thanki, 2009] [Milgrom, Levin, Eilat, 2011] [Benkler, 2012]

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Page 13: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Misconceptions

¨  Open access requires unlicensed allocations. ¨  The value of spectrum can be estimated as the

value of the services it supports. ¨  Free open access to scarce spectrum is economically

efficient.

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Page 14: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Misconceptions

¨  Open access requires unlicensed allocations. ¨  The value of spectrum can be estimated as the

value of the services it supports. ¨  Free open access to scarce spectrum is economically

efficient.

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December 2016

Page 15: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Licensed Open Access

¨  Licensee sets rules, polices band ¨  Open access is a business model

¤ Admission fee ¤ Revenue from selling approved equipment

¨  Business model, technology can evolve without appeal to regulatory authority

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Page 16: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Misconceptions

¨  Open access requires unlicensed allocations. ¨  The value of spectrum can be estimated as the

value of the services it supports. ¨  Free open access to scarce spectrum is economically

efficient.

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Page 17: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Spectrum versus Services

¨  The value of spectrum is not the same as the value of the services it supports.

¨  Example: the value of broadcast TV spectrum is not the same as the total sales of TV equipment.

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Page 18: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Valuing Broadcast TV Spectrum

¨  Opportunity cost: More value may be created by other services (e.g., cellular).

¨  Substitution possibilities: Broadcast TV services can be provided by other means (cable, cellular, WiFi).

¨  Marginal value: How much value is created by a marginal increase in spectrum?

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Page 19: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

How to assess spectrum value?

¨  The value of an increment of spectrum ΔS is the sum of three components: + Marginal value of services enabled by ΔS -  Marginal value of services foreclosed by ΔS -  Administrative costs associated with the allocation

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Page 20: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

The Regulator’s Dilemma

¨  How to compare social values of unlicensed versus licensed?

¨  Solicit estimates ¨  Issues:

¤ Rent seeking ¤ Focus on total value of services,

ignoring opportunity/substitution/administrative costs

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Page 21: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Spectrum Value Estimates ($B)

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Page 22: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Transaction Costs

¨  Licensed: normal market frictions (negotiations, imperfect information)

¨  Unlicensed/open access: restriction of access rights requires an appeal to regulatory authority

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Page 23: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Transaction Costs: Licensed Ex.

¨  Licensed: normal market frictions (negotiations, imperfect information)

¨  Licenses for Media Flow bought by Qualcomm (2007), sold to AT&T (2011).

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Page 24: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Transaction Costs: TV White Spaces

¨  FCC announced intentions in Dec. 2002 ¨  Rules finalized in 2010 ¨  Currently 735 fixed wireless radios registered ¨  Fragmented access rights blocks reconfiguration –

needs regulatory appeal ¨  Another example: U-PCS (1915-20 MHz) allocated

in 1993, remained idle for 20 years.

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Page 25: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Misconceptions

¨  Open access requires unlicensed allocations. ¨  The value of spectrum can be estimated as the

value of the services it supports. ¨  Free open access to scarce spectrum is economically

efficient.

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December 2016

Page 26: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Free Open Access

5G Workshop, Washington D.C.

Free open access to scarce spectrum is economically inefficient.

Tragedy of the commons

Congestion in unlicensed bands è more unlicensed?

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Page 27: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Let Open Access Compete…

5G Workshop, Washington D.C.

Congestion in unlicensed bands è more unlicensed?

Alternative uses: ¤ Cellular ¤ Satellite ¤ Government ¤ Backhaul ¤ …

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Page 28: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Free Access and Congestion

¨  Availability of unlicensed spectrum encourages use by wide-area providers (AT&T, Comcast).

¨  Can lead to excessive congestion, loss in total welfare.

5G Workshop, Washington D.C.

T. Nguyen, H. Zhou, R. Berry, MH, R. Vohra, “The Cost of Free Spectrum”, to appear in Operations Research.

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Page 29: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Unlicensed Controversies

¨  5.9 GHz band: ¤ Currently set aside for vehicular communications ¤ Proposal to reallocate to WiFi

¨  LTE-U, License-Assisted Access ¤ SPs will leverage licensed bands to make more efficient

use of unlicensed bands

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Page 30: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

The LAA Controversy

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Cellular Service Providers

WiFi Alliance

Leave us alone! You have to share!

December 2016

Page 31: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Market Solution

¨  Assign rights, allow spectrum to be traded among providers (LTE, WiFi)

¨  Would eliminate need for LTE-U/LAA. ¨  Bids for licenses plus WiFi offloads suggest current

allocations are lopsided towards unlicensed.

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Page 32: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Spectrum Allocation in 5G

¨  Tradeoffs among: ¤ Density of small cells ¤ Density of WiFi access points ¤ Bandwidth assignments

5G Workshop, Washington D.C.

Network Optimization

traffic

prices Bandwidth allocations

Cell/WiFi density

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Page 33: VALUING SPECTRUM - University of South Floridawcsp.eng.usf.edu/5g/2016/files/5GPanel_MichaelHa.pdfVALUING SPECTRUM 5G Workshop, Washington D.C. Michael Honig Department of EECS Northwestern

Conclusions: Contention vs. Cooperation

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